As mentioned in the comments, the following theorem trivializes the problem.
Theorem. Let $\mu$ be a finite measure. Then $(f_n)$ converges to $f$ in measure if and only if for every subsequence of $(f_n)$ there is a further subsequence that converges almost everywhere.
Proof. Suppose $(f_n)$ converges to $f$ in measure, i.e. $\mu(|f_n - f| > \epsilon) \to 0$ for all $\epsilon > 0$, and let a subsequence be given. For convenience just write it as $(f_n)$ again to avoid subscripts. Take a sequence $\epsilon_n \to 0$ decreasing and $\delta_n$ decreasing with $\sum_n \delta_n < \infty$ and choose $N(0) = 0$ and $N(n) > N(n-1)$ such that $\mu(|f_{N(n)} - f| > \epsilon_n) < \delta_n$ for all $i \geq N(n)$. Since $\sum_n \delta_n <\infty$, by the Borel-Cantelli lemma, except on a set of measure $0$, one has $|f_{N(n)}-f| \leq \epsilon_n$ for all but finitely many $n$. Since the $N(n)$ are increasing and $\epsilon_n$ decreasing, $|f_{N(i)}-f| \leq \epsilon_i \leq \epsilon_n$ for all $i \geq n$ except finitely many exceptions. Thus $f_{N(n)} \to f$ as $n \to \infty$ except on a set of $0$ measure.
Next suppose that for each subsequence there is a further subsequence converging almost surely. Assume for contradiction that $\limsup_n \mu(|f_n - f| > \epsilon) = \delta > 0$ for all $n$. Then choose a subsequence (which to avoid subscripts we assume is the whole sequence) such that $\mu(|f_n - f| > \epsilon) \geq \delta/2$ for all $n$. By the assumed property, choose a further subsequence such that $f_{N(n)} \to f$ except on a set of measure $0$. Then
$$\delta/2 \leq \mu(|f_{N(n)}-f| > \epsilon) = \int 1_{|f_{N(n)}-f|>\epsilon} d\mu \to 0$$
by the dominated convergence theorem (using here that $\mu$ is finite), a contradiction. Thus it must be that $f_n \to f$ in measure.